Tile

TLDR A few days ago, while searching for information, I discovered MapTiler’s elevation profile visualization page, which works excellently: This is really well done, and it’s entirely implemented in the browser https://t.co/R1vQMbdYAo pic.twitter.com/IyTYy5Fxo1 — ringsaturn.me (@ringsaturn_me) January 10, 2024 On their official blog, I found a 2019 post mentioning that the technique encodes elevation data into the RGB channels of an image and then decodes it in the browser. This allows elevation visualization directly in the browser—especially for continuous profile data—by downloading a few images to plot a continuous elevation curve. ...

When dealing with large amounts of scattered data, sometimes we need to provide a read-only query API to visualize on a map. When the amount of data is too large, say millions, it is not appropriate to return it all to the front end for processing on the browser. Some aggregation should be completed within the back-end service to return the aggregated search to the front end. Here’s how to do this with the MongoDB + tile index in Go. ...